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Core AI

68,645 papers (13 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Multimodal Learning (14,926) Large Language Models (9,515) Interpretability (8,292) Foundation Models (5,277) Agent Systems (4,710) Causal Inference (3,958) Multi-Agent Systems (3,842) AI Safety (3,602) Planning (3,482) Reasoning (3,360) Human-AI Interaction (2,465) Model Compression (2,258) Natural Language Processing (2,186) Responsible AI (2,130) Computer Vision (1,901) Game AI (1,846) Reinforcement Learning (1,698) Adversarial Learning (1,500) Autonomous Vehicles (1,488) Language (1,345) Fairness (1,279) Game Theory (1,129) Robotics (1,087) Dialogue Systems (1,066) Efficient Computing (956) Vision-Language Models (928) Knowledge Graph (735) Procedural Generation (709) Trajectory Prediction (676) Evaluation (655) Privacy (617) Natural Language Generation (573) Information Retrieval (541) Memory (526) Decision Making (480) Safety (474) Knowledge Representation (409) Knowledge (386) Information Extraction (378) Speech Processing (310) Knowledge Graphs (282) Security (256) Uncertainty Quantification (246) Representation Learning (239) Retrieval-Augmented Generation (225) Knowledge Editing (200) Question Answering (199) Attention (198) Robustness (186) Knowledge Distillation (185) Code Generation (168) Explainability (142) Brain-Computer Interface (141) Neural Networks (136) Anomaly Detection (132) Automated Reasoning (84) Natural Language Understanding (81) Multi-Lingual Learning (79) Education (64) Machine Translation (57) Learning Paradigms (57) Speech Recognition (55) Risk Management (51) Visual Question Answering (49) Communication (35) Motion Analysis (32) Natural Language Inference (29) Sentiment Analysis (19) Representation (17)

Papers per year

1
11
99
273
4,063
17,181
2000
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Papers (including subtopics)

PWSHAP: A Path-Wise Explanation Model for Targeted Variables ICML 2023 PyPose: A Library for Robot Learning With Physics-Based Optimization CVPR 2023 Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling ICML 2023 Python package for causal discovery based on LiNGAM JMLR 2023 (QA)2: Question Answering with Questionable Assumptions ACL 2023 QADYNAMICS: Training Dynamics-Driven Synthetic QA Diagnostic for Zero-Shot Commonsense Question Answering EMNLP 2023 QAID: Question Answering Inspired Few-shot Intent Detection ICLR 2023 QA Is the New KR: Question-Answer Pairs as Knowledge Bases AAAI 2023 QAP: A Quantum-Inspired Adaptive-Priority-Learning Model for Multimodal Emotion Recognition ACL 2023 QASA: Advanced Question Answering on Scientific Articles ICML 2023 QCRI at SemEval-2023 Task 3: News Genre, Framing and Persuasion Techniques Detection Using Multilingual Models SemEval 2023 QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection ICCV 2023 Q-DETR: An Efficient Low-Bit Quantized Detection Transformer CVPR 2023 Q: How To Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images! CVPR 2023 Q-Pensieve: Boosting Sample Efficiency of Multi-Objective RL Through Memory Sharing of Q-Snapshots ICLR 2023 QPGesture: Quantization-Based and Phase-Guided Motion Matching for Natural Speech-Driven Gesture Generation CVPR 2023 QTSumm: Query-Focused Summarization over Tabular Data EMNLP 2023 Qualitative Code Suggestion: A Human-Centric Approach to Qualitative Coding EMNLP 2023 Quality-agnostic Image Captioning to Safely Assist People with Vision Impairment IJCAI 2023 Quality-Similar Diversity via Population Based Reinforcement Learning ICLR 2023 Quantification of Uncertainty with Adversarial Models NeurIPS 2023 Quantifying and Mitigating the Impact of Label Errors on Model Disparity Metrics ICLR 2023 Quantifying Assistive Robustness Via the Natural-Adversarial Frontier CoRL 2023 Quantifying Consistency and Information Loss for Causal Abstraction Learning IJCAI 2023 Quantifying Human Priors over Social and Navigation Networks ICML 2023